Active Selection of Training Examples for Meta-Learning

  title={Active Selection of Training Examples for Meta-Learning},
  author={Ricardo B. C. Prud{\^e}ncio and Teresa Bernarda Ludermir},
  journal={7th International Conference on Hybrid Intelligent Systems (HIS 2007)},
Meta-learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in meta-learning is acquired from a set of meta-examples which are generated from the empirical evaluation of the algorithms on problems in the past. In this work, active learning is used to reduce the number of meta-examples needed for meta-learning. The motivation is to select only the most relevant problems for meta-example generation, and consequently to reduce… CONTINUE READING

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